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구분 SCI
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학술지 Recursive Estimation of Motion and a Scene Model with a Two-Camera System of Divergent View
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저자
김재헌, 정명진, 최병태
발행일
201006
출처
Pattern Recognition, v.43 no.6, pp.2265-2280
ISSN
0031-3203
출판사
Elsevier
DOI
https://dx.doi.org/10.1016/j.patcog.2009.12.015
협약과제
09MS5900, 디지털 크리쳐 제작 S/W 개발, 최병태
초록
This paper deals with recursive reconstruction of a scene model from unknown motion of a two-camera system capturing the images of the scene. Single camera systems with a relatively small field of view have limited accuracy because of the inherent confusion between translation and rotation. Estimation results from the stereo camera systems are also compromised due to this confusion if the systems require the fields of view to intersect for stereo correspondence. The cameras constituting the two-camera system considered in this paper are arranged so that there is a small intersection of the fields of view. This configuration of divergent view improves the accuracy of the structure and motion estimation because the ambiguity mentioned above decreases due to a large field of view. In this paper, a recursive algorithm is proposed for fast scene model reconstruction using a two-camera system of divergent view. Using inversely inferred stereo correspondences in the intersection of the fields of view is also proposed to remove degeneracy of scale factor determination and to acquire more accurate results from the information redundancy. The results of the experiments with long term real image sequences are presented to demonstrate the feasibility of the proposed system. © 2010 Elsevier Ltd. All rights reserved.
키워드
Extended Kalman filter, Field of view, Motion, Scene reconstruction, Stereo, Stereo correspondence, Structure from motion
KSP 제안 키워드
Camera system, Extended kalman fiLTEr, Field of view(FOV), Image sequence, Information redundancy, Motion estimation(ME), Recursive Algorithm, Recursive reconstruction, Scene Reconstruction, Small field of view, Stereo correspondence